Enhancing image quality using deep learning techniques
Adithya Padthe, Rashmi Ashtagi, Ramya Thatikonda · 2024
This paper delves into image enhancement techniques, magnifying the integration of traditional practices and cutting-edge AI methods. Utilizing a comprehensive analysis of existing literature sources through comparative methods, this study illuminates the current state of the field, assesses the efficiency of diverse enhancement techniques, and hints toward potential future research trajectories. The study, combining various techniques, shows how hybrid methods can bridge the divide between established methods and innovative deep-learning tools. This paper identifies opportunities to integrate these methodologies’ complementary pros and cons to improve image quality and practical applications in various domains.